Show HN: A Context Registry for AI coding agents
Original Text
We build a lot of API integrations. In our experience, most coding agents write basic client calls fine, but consistently stumble on details that make code shippable, like idempotent retries, rate-limiting and Auth token management.
We tried all the existing approaches of injecting context into coding sessions:
- Markdown dumps delivered via MCP (think Context7 or Mintlify Docs MCP) - API behaviour described in prose using AGENTS.md and skills. - OpenAPI specs
However, all of them left the same production-readiness gaps.
So we came up with our own approach that combines prose with typed SDK reference code into a "Context Plugin". You install the plugin into your coding agent and it automatically injects language-specific context whenever the agent works on an API.
Across our benchmarks, Context Plugins boosted one-shot production readiness by up to 34%, allowing Sonnet to match or beat baseline Opus on the same integration tasks. You can read more about our experiments here https://www.apimatic.io/blog/working-api-call-is-not-product...
We have published Context Plugins for 24 APIs for the community to try out, including Slack, Google Maps, and Notion.
We'd love for you to give them a go and share your feedback on our plugins as well as our evaluation methodology.
Comments (1 of ) ⌛